A general model of conversational dynamics and an example application in serious illness communication.
Ontology highlight
ABSTRACT:
SUBMITTER: Clarfeld LA
PROVIDER: S-EPMC8248661 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Background: Natural language processing (NLP), a form of computer-assisted data abstraction, rapidly identifies serious illness communication domains such as code-status confirmation and goals of care (GOC) discussions within free-text notes, using a codebook of phrases. Differences in the phrases associated with palliative care for patients with different types of illness are unknown. Objective: To compare communication of code-status clarification and GOC discussions between patients with advanced pancreatic cancer undergoing palliative procedures and patients admitted with life-threatening trauma. Design: Retrospective cohort study. Setting/Subjects: Patients with in-hospital admissions within two academic medical centers. Measurements: Sensitivity and specificity of NLP-identified communication domains compared with manual review. Results: Among patients with advanced pancreatic cancer (n = 523), NLP identified code-status clarification in 54% of admissions and GOC discussions in 49% of admissions. The sensitivity and specificity for code-status clarification were 94% and 99% respectively, while the sensitivity and specificity for a GOC discussion were 93% and 100%, respectively. Using the same codebook in patients with life-threatening trauma (n = 2093), NLP identified code-status clarification in 25.9% of admissions and GOC discussions in 6.3% of admissions. While NLP identification had 100% specificity, the sensitivity for code-status clarification and GOC discussion was reduced to 86% and 50%, respectively. Adding dynamic phrases such as "ongoing discussions" and phrases related to "family meetings" increased the sensitivity of the NLP codebook for code status to 98% and for GOC discussions to 100%. Conclusions: Communication of code status and GOC differ between patients with advanced cancer and those with life-threatening trauma. Recognition of these differences can aid in identification in patterns of palliative care delivery.
| S-EPMC7643760 | biostudies-literature
Project description:BackgroundSerious mental illness (SMI, including schizophrenia, schizoaffective disorder, and bipolar disorder) is associated with worse general health. However, admissions to general hospitals have received little investigation. We sought to delineate frequencies of and causes for non-psychiatric hospital admissions in SMI and compare with the general population in the same area.MethodsRecords of 18 380 individuals with SMI aged ?20 years in southeast London were linked to hospitalisation data. Age- and gender-standardised admission ratios (SARs) were calculated by primary discharge diagnoses in the 10th edition of the World Health Organization International Classification of Diseases (ICD-10) codes, referencing geographic catchment data.ResultsCommonest discharge diagnosis categories in the SMI cohort were urinary conditions, digestive conditions, unclassified symptoms, neoplasms, and respiratory conditions. SARs were raised for most major categories, except neoplasms for a significantly lower risk. Hospitalisation risks were specifically higher for poisoning and external causes, injury, endocrine/metabolic conditions, haematological, neurological, dermatological, infectious and non-specific ('Z-code') causes. The five commonest specific ICD-10 diagnoses at discharge were 'chronic renal failure' (N18), a non-specific code (Z04), 'dental caries' (K02), 'other disorders of the urinary system' (N39), and 'pain in throat and chest' (R07), all of which were higher than expected (SARs ranging 1.57-6.66).ConclusionA range of reasons for non-psychiatric hospitalisation in SMI is apparent, with self-harm, self-neglect and/or reduced healthcare access, and medically unexplained symptoms as potential underlying explanations.
| S-EPMC6236443 | biostudies-literature
Project description:ContextHigh quality communication is essential to older adults' medical decision-making, quality of life, and adjustment to serious illness. Studies have demonstrated that Geritalk, a two day (16 hours total) in-person communication skills training improves self-assessed preparedness, skill acquisition, and sustained practice of communication skills. Due to the COVID-19 pandemic, Geritalk was adapted to a virtual format (four days, 10 hours total).ObjectivesOur study evaluated the change in participants' self-assessed preparedness for serious illness communication before and after the virtual course and satisfaction with the course, and compared these findings to responses from a prior in-person Geritalk course.MethodsGeriatrics and Palliative Medicine fellows at three urban academic medical centers completed surveys, which employed five-point Likert scales, before and after the virtual course to assess satisfaction with the course and preparedness for serious illness communication.ResultsOf the 20 virtual Geritalk participants, 17 (85%) completed the pre-course assessment, and 14 (70%) completed the post-course assessment. Overall, satisfaction with the course was high (mean 4.9 on a 5-point scale). Compared to in-person Geritalk participants, virtual course participants reported comparable and significant (P < 0.01) improvements in mean self-reported preparedness across all surveyed communication skills.ConclusionWe show that a virtual communication skills training is feasible and effective. Our findings suggest that the innovative virtual Geritalk course has the potential to increase access to communication skills training, improve serious illness communication skills, and in improve the quality of care received by older adults with serious illness.
| S-EPMC8380266 | biostudies-literature
Project description:Individuals with serious mental illness (SMI) experience significant premature mortality due to somatic conditions but often receive sub-optimal somatic care, but little research has been done to understand how general medical clinicians' attitudes may affect care provision or health outcomes. This review describes general medical clinicians' attitudes toward people with SMI, compares these attitudes to attitudes among mental health clinicians or toward individuals without SMI, and examines the relationship between attitudes and clinical decision making. Seventeen studies were reviewed. General medical clinicians reported negative attitudes toward individuals with SMI. These attitudes were generally more negative than attitudes among mental health clinicians and were consistently more negative when compared to attitudes toward individuals without SMI. Four studies suggest that these negative attitudes have an adverse effect on clinician decision making.
| S-EPMC7251232 | biostudies-literature
Project description:ObjectivesAs key team members caring for people with advanced illness, nurses teach patients and families about managing their illnesses and help them to understand their options. Our objective was to determine if nurses' personal healthcare experience with serious illness and end-of-life (EOL) care differs from the general population as was shown for physicians.DesignObservational propensity-matched cohort study.SettingFee-for-service Medicare.ParticipantsNurses' Health Study (NHS) and a random 20% national sample of Medicare beneficiaries aged 66 years or older with Alzheimer's disease and related dementias (ADRD) or congestive heart failure (CHF) diagnosed in the hospital.MeasurementsCharacteristics of care during the first year after diagnosis and the last 6 months of life (EOL).ResultsAmong 57 660 NHS participants, 7380 had ADRD and 5375 had CHF; 3227 ADRD patients and 2899 CHF patients subsequently died. Care patterns in the first year were similar for NHS participants and the matched national sample: hospitalization rates, emergency visits, and preventable hospitalizations were no different in either disease. Ambulatory visits were slightly higher for NHS participants than the national sample with ADRD (13.1 vs 12.5 visits; P < .01) and with CHF (13.7 vs 12.5; P < .001). Decedents in the NHS and national sample had similar acute care use (hospitalization and emergency visits) in both diseases, but those with ADRD were less likely to use life-prolonging treatments such as mechanical ventilation (10.9% vs 13.5%; P = .001), less likely to die in a hospital with a stay in the intensive care unit (10.4% vs 12.1%; P = .03), and more likely to use hospice (58.9% vs 54.8%; P < .001). CHF at the EOL results were similar.ConclusionsNurses with newly identified serious illness experience similar care as the general Medicare population. However, at EOL, nurses are more likely to choose less aggressive treatments than the patients for whom they care. J Am Geriatr Soc 67:1582-1589, 2019.
| S-EPMC8559590 | biostudies-literature
Project description:Communication about end-of-life care is a core clinical skill. Simulation-based training improves skill acquisition, but effects on patient-reported outcomes are unknown.To assess the effects of a communication skills intervention for internal medicine and nurse practitioner trainees on patient- and family-reported outcomes.Randomized trial conducted with 391 internal medicine and 81 nurse practitioner trainees between 2007 and 2013 at the University of Washington and Medical University of South Carolina.Participants were randomized to an 8-session, simulation-based, communication skills intervention (N?=?232) or usual education (N?=?240).Primary outcome was patient-reported quality of communication (QOC; mean rating of 17 items rated from 0-10, with 0?=?poor and 10?=?perfect). Secondary outcomes were patient-reported quality of end-of-life care (QEOLC; mean rating of 26 items rated from 0-10) and depressive symptoms (assessed using the 8-item Personal Health Questionnaire [PHQ-8]; range, 0-24, higher scores worse) and family-reported QOC and QEOLC. Analyses were clustered by trainee.There were 1866 patient ratings (44% response) and 936 family ratings (68% response). The intervention was not associated with significant changes in QOC or QEOLC. Mean values for postintervention patient QOC and QEOLC were 6.5 (95% CI, 6.2 to 6.8) and 8.3 (95% CI, 8.1 to 8.5) respectively, compared with 6.3 (95% CI, 6.2 to 6.5) and 8.3 (95% CI, 8.1 to 8.4) for control conditions. After adjustment, comparing intervention with control, there was no significant difference in the QOC score for patients (difference, 0.4 points [95% CI, -0.1 to 0.9]; P?=?.15) or families (difference, 0.1 [95% CI, -0.8 to 1.0]; P?=?.81). There was no significant difference in QEOLC score for patients (difference, 0.3 points [95% CI, -0.3 to 0.8]; P?=?.34) or families (difference, 0.1 [95% CI, -0.7 to 0.8]; P?=?.88). The intervention was associated with significantly increased depression scores among patients of postintervention trainees (mean score, 10.0 [95% CI, 9.1 to 10.8], compared with 8.8 [95% CI, 8.4 to 9.2]) for control conditions; adjusted model showed an intervention effect of 2.2 (95% CI, 0.6 to 3.8; P?=?.006).Among internal medicine and nurse practitioner trainees, simulation-based communication training compared with usual education did not improve quality of communication about end-of-life care or quality of end-of-life care but was associated with a small increase in patients' depressive symptoms. These findings raise questions about skills transfer from simulation training to actual patient care and the adequacy of communication skills assessment.clinicaltrials.gov Identifier: NCT00687349.
| S-EPMC4310457 | biostudies-literature
Project description:Background/Objectives: The serious illness conversation (SIC) is an evidence-based framework for conversations with patients about a serious illness diagnosis. The objective of our study was to develop and validate a novel tool, the SIC-evaluation exercise (SIC-Ex), to facilitate assessment of resident-led conversations with oncology patients. Design: We developed the SIC-Ex based on SIC and on the Royal College of Canada Medical Oncology milestones. Seven resident trainees and 10 evaluators were recruited. Each trainee conducted an SIC with a patient, which was videotaped. The evaluators watched the videos and evaluated each trainee by using the novel SIC-Ex and the reference Calgary-Cambridge guide (CCG) at months zero and three. We used Kane's validity framework to assess validity. Results: Intra-class correlation using average SIC-Ex scores showed a moderate level of inter-evaluator agreement (range 0.523-0.822). Most evaluators rated a particular resident similar to the group average, except for one to two evaluator outliers in each domain. Test-retest reliability showed a moderate level of consistency among SIC-Ex scores at months zero and three. Global rating at zero and three months showed fair to good/very good inter-evaluator correlation. Pearson correlation coefficients comparing total SIC-Ex and CCG scores were high for most evaluators. Self-scores by trainees did not correlate well with scores by evaluators. Conclusions: SIC-Ex is the first assessment tool that provides evidence for incorporating the SIG guide framework for evaluation of resident competence. SIC-Ex is conceptually related to, but more specific than, CCG in evaluating serious illness conversation skills.
| S-EPMC8241377 | biostudies-literature
Project description:Background: International family-centered critical care guidelines recommend formal, structured communication to ensure that clinical decision making is informed by a shared understanding of diagnosis and prognosis and patient goals and preferences. Tools to facilitate these recommendations are limited. Objective: To examine the feasibility, acceptability, and utility of a standardized serious illness conversation (SIC) to guide communication between nonpalliative care trained providers and surrogates of critically ill, mechanically ventilated patients. Methods: After providers received training, including simulation, we implemented SIC in October 2018. A total of 11 hospitalist providers were eligible to perform SICs over the study interval. Providers met in person with surrogates of adult, mechanically ventilated patients in the medical intensive care unit within 48 hours of intubation. To determine acceptability, surrogates were surveyed 2 months after SIC completion, and providers were surveyed between June and July 2018. To determine feasibility and utility, two independent investigators reviewed SIC documentation and coded responses into categories. Results: Of 72 eligible patients, advanced care planning documentation was completed in 50 patients, including 36 SICs, for an advance care planning completion rate of 69% and an SIC completion rate of 50%. The average SIC was completed in 30 minutes, 3 days after intubation. Of the 19 surrogates surveyed, 95% found the SIC to be mostly or extremely worthwhile. Nine of 11 hospitalist providers completed the follow-up survey. Each of the nine providers who completed the survey found the guide valuable to patient care and easy to administer. The conversation yielded valuable information in terms of goals, fears, and worries; sources of strength; abilities critical to the patient; and understanding how much the patient would be willing to go through for the possibility of gaining more time. Conclusion: We found that implementation of a structured communication tool in the intensive care unit was feasible and acceptable to surrogates and providers; yet, fidelity to the timing and completion was modest. The tool appeared to yield valuable information for understanding the goals, fears, and care preferences of mechanically ventilated patients. Steps to increase fidelity, in accordance with family-centered care guidelines, are warranted.
| S-EPMC8043290 | biostudies-literature
Project description:Objective To compare patient experience with healthcare services and providers among older patients (?50 years old) with and without serious mental illness. Methods Using secondary data from the Medical Expenditures Panel Survey from 2003 through 2013, we compared adults aged 50 years and older with schizophrenia spectrum disorder ( n?=?106), mood disorders (i.e., major depressive disorder and bipolar disorder) ( n?=?419), and no serious mental illness ( n?=?34,921). Results Older adults with schizophrenia spectrum disorder reported significantly worse provider communication than older adults without serious mental illness. Older adults with mood disorders reported the greatest barriers to shared decision-making and the greatest difficulty accessing services. Conclusions Our results highlight the need to improve the patient experience of older adults with serious mental illness. Addressing provider communication, shared decision-making, and access to care among this vulnerable group of older adults may impact clinical outcomes and costs. Future research examining the extent to which improving the patient experience may improve health outcomes and enhance treatment for this highly vulnerable older group is warranted.
| S-EPMC6025749 | biostudies-literature
Project description:BackgroundImplementation researchers have sought ways to use simulations to support the core components of implementation, which typically include assessing the need for change, designing implementation strategies, executing the strategies, and evaluating outcomes. The goal of this paper is to explain how agent-based modeling could fulfill this role.MethodsWe describe agent-based modeling with respect to other simulation methods that have been used in implementation science, using non-technical language that is broadly accessible. We then provide a stepwise procedure for developing agent-based models of implementation processes. We use, as a case study to illustrate the procedure, the implementation of evidence-based smoking cessation practices for persons with serious mental illness (SMI) in community mental health clinics.ResultsFor our case study, we present descriptions of the motivating research questions, specific models used to answer these questions, and a summary of the insights that can be obtained from the models. In the first example, we use a simple form of agent-based modeling to simulate the observed smoking behaviors of persons with SMI in a recently completed trial (IDEAL, Comprehensive Cardiovascular Risk Reduction Trial in Persons with SMI). In the second example, we illustrate how a more complex agent-based approach that includes interactions between patients, providers and site administrators can be used to provide guidance for an implementation intervention that includes training and organizational strategies. This example is based in part on an ongoing project focused on scaling up evidence-based tobacco smoking cessation practices in community mental health clinics in Maryland.ConclusionIn this paper we explain how agent-based models can be used to address implementation science research questions and provide a procedure for setting up simulation models. Through our examples, we show how what-if scenarios can be examined in the implementation process, which are particularly useful in implementation frameworks with adaptive components.
| S-EPMC8297792 | biostudies-literature